New Cloud Service for Anomaly Detection and Inactivity Alerting Improves System Up-time and Accelerates Issue Resolution

August 20, 2014

Boston, Massachusetts (August 21, 2014) – Logentries, the most connected log management and analytics service built for the cloud, today announced new Anomaly Detection and Inactivity Alerting to help Dev and IT Ops proactively monitor, troubleshoot and resolve production system issues in real-time. Cloud-based Logentries Anomaly Detection automatically notifies users when abnormal events occur or pattern deviations surpass defined thresholds. Additionally, Logentries users can now create real-time alerting based on the absence of expected events or a shift in system behavior patterns. Using advanced machine-learning technology, the Logentries service is enabling users to proactively detect performance and security issues, and resolve problems more quickly to improve end user experience and overall system and application performance.

As modern systems are increasingly decoupled and distributed, IT and Development Operations teams often lack an effective means to monitor, troubleshoot and resolve potential issues with their production systems. When there is a shift in system behavior, or something abnormal has occurred, it is important to be automatically notified in real-time in order to mitigate potentially serious events or system-wide outages. For example, if a server response time changes from one second to five seconds, but does not generate any standard errors, Operations teams could miss the issue because they did not receive an alert. Logentries’ new Anomaly Detection and Inactivity Alerting enables users to easily create a baseline query to extract specific log-based data that they want to monitor and receive alerts on.

“Logentries is quickly expanding the value of log data for our Ops team by not only centralizing and indexing all of our log sources, but now adding an automated log-based approach to monitoring and alerting that helps us to more quickly detect performance and security issues,” said Geoffrey Smalling, CTO, 500friends.

With Logentries Anomaly Detection, users can:

Set-up real-time alerting based on deviations from important patterns and log events.

Easily customize Anomaly thresholds and compare different time periods.

“It’s particularly important to not only monitor errors in your logs, but proactively recognize where there has been a shift in system behavior,” said Trevor Parsons, Co-founder and Chief Scientist, Logentries. “Our Anomaly Detection and Inactivity Alerting adds a new level of sophistication to Logentries that notifies users in real-time when something significantly changes in their system, such as application usage patterns, system response times or server resource consumption.”

The cloud-based Logentries service collects and pre-processes log events in real-time for on-demand analysis, alerting and visualization. With custom tagging and filtering, users can correlate security and performance issues with broader infrastructure activity including application usage, server metrics, and user behavior. To learn more about Anomaly Detection, Inactivity Alerting, or to get started today with a free, all-inclusive 30-day trial of the Logentries service, visit Logentries.com

About Logentries
Logentries is the world’s most connected log management and analytics service, making business insights from machine-generated log data easily accessible to development, IT and business operations teams of all sizes. With the broadest platform support and an open API, Logentries brings the value of log-level data to any system, to any team member, and to a community of more than 35,000 worldwide users. While traditional log management and analytics solutions require advanced technical skills to use, and are costly to set-up, Logentries provides an alternative designed for managing huge amounts of data, visualizing insights that matter, and sharing that information across its global user community. To sign up for the free Logentries service, visit logentries.com.